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The 'Names Game': Harnessing Inventors Patent Data for Economic Research
Melamed, Ran; Shiff, Gil; Trajtenberg, Manuel - C.E.P.R. Discussion Papers - 2006
detailed data on inventors contained in patents, and harness it for economic research. Patent data has long been used in … empirical research in economics, and yet the information on the identity (i.e. the names and location) of the patents’ inventors … be spelled differently across her/his patents, and the exact same name may correspond to different inventors (i.e. the …
Persistent link: https://www.econbiz.de/10005661738
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Who's Who in Patents. A Bayesian approach
Cassi, Lorenzo; Carayol, Nicolas - HAL - 2009
This paper proposes a bayesian methodology to treat the who's who problem arising in individual level data sets such as patent data. We assess the usefullness of this methodology on the set of all French inventors appearing on EPO applications from 1978 to 2003.
Persistent link: https://www.econbiz.de/10011026162
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Fuzzy firm name matching: Merging Amadeus firm data to PATSTAT
Bremer, Leon - 2023
When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...
Persistent link: https://www.econbiz.de/10014469390
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Fuzzy firm name matching : merging Amadeus firm data to PATSTAT
Bremer, Leon - 2023
When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...
Persistent link: https://www.econbiz.de/10014380748
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How to play the “Names Game”: Patent retrieval comparing different heuristics
Raffo, Julio; Lhuillery, Stéphane - Chaire en Économie et Management de l'Innovation … - 2009
Patent statistics represent a critical tool for scholars, statisticians and policy makers interested in innovation and intellectual property rights. Many analyses are based on heterogeneous methods delineating the inventors’ or firms’ patent portfolios without questioning the quality of the...
Persistent link: https://www.econbiz.de/10005009698
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Creating Powerful Indicators for Innovation Studies with Approximate Matching Algorithms. A test based on PATSTAT and Amadeus databases.
Thoma, Grid; Torrisi, Salvatore - KITeS, Centre for Knowledge, Internationalization and … - 2007
innovation. More recently, the availability of large datasets on indicators, such as R&D expenditures and patents, has relaxed …. An increasing number of studies have used patents counts as a measure of inventive output. However, crude patent counts …
Persistent link: https://www.econbiz.de/10005760937
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Mapping Firms' Locations in Technological Space : A Topological Analysis of Patent Statistics
Escolar, Emerson - 2020
high-dimensional data in a shape graph. Applying this method to 333 major firms' patents in 1976—2005 reveals substantial …
Persistent link: https://www.econbiz.de/10012847957
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Mapping Firms' Locations in Technological Space : A Topological Analysis of Patent Statistics
Escolar, Emerson; Hiraoka, Yasuaki; Igami, Mitsuru; … - 2023
represents high-dimensional data in a shape graph. Applying this method to 333 major firms’ patents in 1976–2005 reveals hitherto …
Persistent link: https://www.econbiz.de/10014344535
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Web mining of firm websites: A framework for web scraping and a pilot study for Germany
Kinne, Jan; Axenbeck, Janna - 2018
Nowadays, almost all (relevant) firms have their own websites which they use to publish information about their products and services. Using the example of innovation in firms, we outline a framework for extracting information from firm websites using web scraping and data mining. For this...
Persistent link: https://www.econbiz.de/10011893504
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Web mining of firm websites : a framework for web scraping and a pilot study for Germany
Kinne, Jan; Axenbeck, Janna - 2018
Nowadays, almost all (relevant) firms have their own websites which they use to publish information about their products and services. Using the example of innovation in firms, we outline a framework for extracting information from firm websites using web scraping and data mining. For this...
Persistent link: https://www.econbiz.de/10011892694